Dense and Tight Detection of Chinese Characters in Historical Documents: Datasets and a Recognition Guided Detector
Characters in historical documents are typically densely distributed and are difficult to localize and segment by directly applying classic proposal and regression based methods. In this paper, we propose a novel method called recognition guided detector (RGD) that achieves tight Chinese character d...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8364534/ |